Technical Trainer

Job Title: Technical Trainer
Contract Type: Contract
Location: Docklands, Victoria
Salary: Negotiable
Start Date: ASAP
Reference: 193012_1551768100
Contact Name: Pamela Argyropoulos
Contact Email:
Job Published: March 05, 2019 17:41

Job Description

Based in the Analytics Hub, you will be working alongside engineers, data scientists and change-makers to drive and support change across the broader analytics community towards using world class analytics tools, platforms and techniques.

Key deliverables include:

  • Develop, curate, and deliver technical training to the data analytics and data science community both in Melbourne and Sydney.
  • Engage stakeholders to understand learning capabilities and tailor training content accordingly.
  • Develop and implement technical training roadmap for different capabilities/roles/levels across the analytics community
  • Develop and implement metrics to measure and track technical capability uplift and feedback
  • Produce and deliver engaging and effective communications to support training
  • Support the delivery of Training Needs Analysis and implementation of learning and development materials, e.g. FAQs, Reference Guides, Aids and Supporting Documentation, training manuals
  • Identify and train [in-house] technical experts to become future trainers.

You will have:

  • At least 5 years of experience in training or learning and development role
  • At least 3 years in a business environment
  • Ability to develop and deliver training via multiple channels e.g. face2face, online, VC, etc.
  • Effective interpersonal skills, with the ability to work in a cross-functional team
  • Excellent written and oral communication skills, with the ability to build strong relationships and advocate for new and emerging skills, tools and platforms
  • A self-motivated approach and comfort with working in a fast-growing, dynamic and ambiguous environment
  • BA/BS/BComm degree or equivalent qualification

In depth experience both using and teaching some of the below;

  • Open Source tools
  • R
  • Python
  • SQL
  • Shiny
  • Scala
  • Artificial intelligence
  • Advance Machine Learning
  • Visualization
  • Analytics and Modelling Best Practice
  • Model interpretation and validation techniques
  • Deep Learning
  • NLP
  • Time-series forecasting
  • Adversarial machine learning
  • A/B Testing
  • Graph Theory

If you have the skills and experience in the above, please APPLY NOW.